Impactful GenAI Platform Engineer, Enterprise

Amgen SA; Washington (District of Columbia); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Retirement plan

Medical coverage

Discretionary annual bonus

Stock-based incentives

Flexible work model

Job summary

Amgen seeking an Enterprise Generative AI Platform Engineer to transform approved AI capabilities into practical, governance-driven solutions. You will collaborate with Product, Engineering, Security, Privacy, Compliance and Legal teams to boost adoption and measurable value.

Role emphasizes translating complex tech into clear guidance, driving responsible AI, and building scalable enterprise use cases across the organization.

Qualifications

• Experience with enterprise AI platforms and internal tools.
• Ability to assess use cases for value, feasibility, risk and scalability.
• Strong communication and stakeholder management skills.
• Collaborative work with product, security, privacy and legal teams.

Responsibilities

• Support enterprise generative AI capabilities and related tools.
• Clarify use cases, assess fit, risk and delivery path.
• Translate feedback into actionable requirements and templates.
• Partner with teams to support responsible use and governance.
• Assist pilots, workshops and demonstrations to drive adoption.
• Track adoption and communicate platform improvements.

Skills

Generative AI platforms

Enterprise technology

GPTs / custom assistants

Stakeholder communication

Cross-functional collaboration

Use case assessment

Education

Master’s degree in CS/IT/Engineering

Bachelor’s degree with 5+ years experience

Generative AI / cloud certifications

Tools

ChatGPT Enterprise

Custom GPTs

Job description

Amgen seeking an Enterprise Generative AI Platform Engineer to transform approved AI capabilities into practical, governance-driven solutions. You will collaborate with Product, Engineering, Security, Privacy, Compliance and Legal teams to boost adoption and measurable value.

Role emphasizes translating complex tech into clear guidance, driving responsible AI, and building scalable enterprise use cases across the organization.